Retora vs Human Message Evaluations
Total-index audience analysis with dimension diagnostics
Executive Summary
Plain-language readout: On the 1-7 total message-evaluation index, Retora lands within 1 point of the human average in 58.0% of participant-message cases. Using a looser band, it is within 1.5 points in 74.4% of cases and within 2 points in 87.2%.
Overall, Retora is not wildly off, but it is systematically more negative: its total score is on average 0.66 points lower than humans. The average miss is 1.12 points on the same 1-7 scale.
Trust pattern: Retora is least accurate for Low trust participants (MAE 1.22, 320 participant-messages) and most accurate for Medium trust participants (MAE 0.96). The strongest directional trust-bin mismatch is for Low trust, where Retora scores are on average lower than humans by 0.85 points. This is a descriptive subgroup pattern; the report avoids treating a nearly flat trend line as evidence of a strong linear trust relationship.
Where Retora Matches And Misses
Where Retora matches and misses: The finder scans gender, age, gender-by-age, progressive position, trust, message topic, and topic-by-gender groups. Only groups with at least 30 participant-message rows are ranked.
Best matched groups:
- taxation and redistribution, Male (Topic x gender; 86 participant-messages): MAE 0.95, Retora lower by 0.66 points on average
- Medium trust (Trust; 228 participant-messages): MAE 0.96, Retora lower by 0.39 points on average
- Male, 35+ (Gender x age; 244 participant-messages): MAE 1.03, Retora lower by 0.54 points on average
- Progressive (Progressive position; 364 participant-messages): MAE 1.04, Retora lower by 0.54 points on average
- taxation and redistribution (Message topic; 160 participant-messages): MAE 1.07, Retora lower by 0.66 points on average
Largest deviations:
- Male, 18-34 (Gender x age; 100 participant-messages): MAE 1.23, Retora lower by 0.99 points on average
- Mixed (Progressive position; 232 participant-messages): MAE 1.23, Retora lower by 0.81 points on average
- Low trust (Trust; 320 participant-messages): MAE 1.22, Retora lower by 0.85 points on average
- Conservative / low progressive (Progressive position; 44 participant-messages): MAE 1.21, Retora lower by 0.91 points on average
- 18-34 (Age; 212 participant-messages): MAE 1.21, Retora lower by 0.80 points on average
Direction of mismatch: The strongest directional mismatch is Male, 18-34 (Gender x age), where Retora is lower than humans by 0.99 points on average.
These are descriptive performance patterns from the current dataset. They identify where Retora is closer or further from human ratings, but they should not be read as causal evidence about why the mismatch happens.
| Group type | Group | Participant-messages | Participants | Human mean | Retora mean | Total-index MAE | Signed bias | Within 1 point |
|---|---|---|---|---|---|---|---|---|
| Gender x age | Male, 18-34 | 100 | 25 | 5.08 | 4.09 | 1.23 | -0.99 | 53.0% |
| Progressive position | Mixed | 232 | 57 | 4.72 | 3.91 | 1.23 | -0.81 | 52.6% |
| Trust | Low trust | 320 | 79 | 4.80 | 3.94 | 1.22 | -0.85 | 54.1% |
| Progressive position | Conservative / low progressive | 44 | 11 | 4.10 | 3.19 | 1.21 | -0.91 | 54.5% |
| Age | 18-34 | 212 | 52 | 5.00 | 4.20 | 1.21 | -0.80 | 54.2% |
| Topic x gender | immigration, Female | 73 | 72 | 4.91 | 4.19 | 1.20 | -0.72 | 56.2% |
| Topic x gender | taxation and redistribution, Female | 73 | 72 | 4.93 | 4.26 | 1.20 | -0.67 | 47.9% |
| Gender x age | Female, 18-34 | 112 | 27 | 4.92 | 4.30 | 1.18 | -0.63 | 55.4% |
| Topic x gender | gender pay gap, Male | 86 | 84 | 5.07 | 4.41 | 1.17 | -0.65 | 57.0% |
| Topic x gender | climate change, Male | 86 | 84 | 4.52 | 3.80 | 1.16 | -0.72 | 60.5% |
| Gender | Female | 292 | 72 | 4.92 | 4.25 | 1.16 | -0.67 | 53.8% |
| Trust | High trust | 92 | 23 | 5.02 | 4.35 | 1.16 | -0.68 | 51.1% |
| Message topic | gender pay gap | 160 | 157 | 5.12 | 4.48 | 1.15 | -0.64 | 55.0% |
| Gender x age | Female, 35+ | 180 | 45 | 4.92 | 4.23 | 1.15 | -0.69 | 52.8% |
| Message topic | climate change | 160 | 157 | 4.57 | 3.89 | 1.13 | -0.68 | 59.4% |
| Message topic | immigration | 160 | 157 | 4.79 | 4.11 | 1.13 | -0.68 | 58.8% |
| Topic x gender | gender pay gap, Female | 73 | 72 | 5.21 | 4.57 | 1.13 | -0.65 | 53.4% |
| Topic x gender | climate change, Female | 73 | 72 | 4.63 | 4.00 | 1.11 | -0.63 | 57.5% |
| Gender | Male | 344 | 84 | 4.75 | 4.07 | 1.09 | -0.67 | 61.3% |
| Age | 35+ | 428 | 105 | 4.73 | 4.13 | 1.08 | -0.59 | 59.8% |
| Topic x gender | immigration, Male | 86 | 84 | 4.70 | 4.04 | 1.07 | -0.66 | 60.5% |
| Message topic | taxation and redistribution | 160 | 157 | 4.80 | 4.14 | 1.07 | -0.66 | 58.8% |
| Progressive position | Progressive | 364 | 89 | 4.97 | 4.43 | 1.04 | -0.54 | 61.8% |
| Gender x age | Male, 35+ | 244 | 59 | 4.61 | 4.07 | 1.03 | -0.54 | 64.8% |
| Trust | Medium trust | 228 | 56 | 4.77 | 4.38 | 0.96 | -0.39 | 66.2% |
| Topic x gender | taxation and redistribution, Male | 86 | 84 | 4.70 | 4.04 | 0.95 | -0.66 | 67.4% |
Multivariate Drivers Of Deviation
The model below explains absolute Retora-human deviation on the total message-evaluation index. It adjusts audience traits and message design in the same model, with cluster-robust standard errors by participant.
Multivariate drivers: This section asks which factors are associated with larger absolute Retora-human deviation after adjusting for other audience traits and message design. The outcome is absolute error on the total message-evaluation index.
The adjusted OLS model uses 636 participant-message rows from 156 participants. Its adjusted R-squared is 0.073, so these factors explain some, but not most, of the case-level mismatch.
The largest incremental factor in this model is Age x gender (partial R-squared 0.036). Among audience traits, the largest is Age x gender (partial R-squared 0.036).
These estimates are descriptive associations, not causal effects. Standard errors are clustered by participant because each participant rated multiple messages.
| Model rows | Participants | Adjusted R-squared | Residual SE |
|---|---|---|---|
| 636 | 156 | 0.073 | 0.82 |
Total Evaluation Index
The total index is the average of existing message-rating dimensions. Human and Retora totals are paired row by row, using only dimensions the human participant actually rated.
Audience Index Diagnostics
| Progressive index mean | Progressive index SD | Trust index mean | Trust index SD |
|---|---|---|---|
| 5.97 | 1.86 | 3.30 | 2.37 |
| Index | Group | Participant-messages | Participants | Total-index MAE | Signed bias |
|---|---|---|---|---|---|
| Trust | High trust | 92 | 23 | 1.16 | -0.68 |
| Trust | Low trust | 320 | 79 | 1.22 | -0.85 |
| Trust | Medium trust | 228 | 56 | 0.96 | -0.39 |
| Progressive position | Conservative / low progressive | 44 | 11 | 1.21 | -0.91 |
| Progressive position | Mixed | 232 | 57 | 1.23 | -0.81 |
| Progressive position | Progressive | 364 | 89 | 1.04 | -0.54 |
Human Vs Retora Dimension Averages
These interactive bars compare average human and Retora ratings by client-readable audience groups. Error bars show 95% normal confidence intervals around the mean.
Dimension Diagnostics
The charts below decompose the total index into the original moral-rating dimensions. They are diagnostic detail rather than the headline audience result.
Message Quality Matching
Message quality pattern: Retora is furthest from humans for weak messages (MAE 1.27, within 1 point in 53.5% of cases) and closest for decent messages (MAE 1.02, within 1 point in 61.6% of cases).
The strongest quality-level directional mismatch is for weak messages, where Retora scores are on average lower than humans by 0.95 points. This section asks whether presumed message quality changes the size and direction of Retora-human deviation.
| Quality | Participant-messages | Participants | Human mean | Retora mean | Total-index MAE | Signed bias | Within 1 point |
|---|---|---|---|---|---|---|---|
| weak | 213 | 133 | 4.86 | 3.91 | 1.27 | -0.95 | 53.5% |
| decent | 216 | 132 | 4.84 | 4.25 | 1.02 | -0.59 | 61.6% |
| strong | 211 | 126 | 4.75 | 4.31 | 1.06 | -0.45 | 58.8% |
Message Diagnostics
Best And Worst Matched Participant-Messages
| Section | Participant | Topic | Format | Quality | Message ID | Message | Human total | Retora total | Abs. error | Signed bias |
|---|---|---|---|---|---|---|---|---|---|---|
| Closest predictions | 5483702ffdf99b24c654b810 | climate_change | pitch | decent | climate_change_pitch_authority_q2_v1 | A clean-energy transition needs stable rules, not last-minute improvisation. Clear targets help firms invest, workers... | 4.25 | 4.25 | 0.00 | 0.00 |
| Closest predictions | 58ff31a1d10e2b000108579e | immigration | motto | strong | immigration_motto_fairness_q3_v1 | When newcomers follow the process, timely decisions and shared duties make fair treatment visible. | 3.75 | 3.75 | 0.00 | 0.00 |
| Closest predictions | 5affe1f4331e8100018f1d45 | climate_change | motto | weak | climate_change_motto_freedom_q1_v2 | Less dependence on fossil fuels means people have more energy choices. | 4.00 | 4.00 | 0.00 | 0.00 |
| Closest predictions | 5cfde288bab656000198b943 | gender_pay_gap | motto | strong | gender_pay_gap_motto_fairness_q3_v1 | Salary audits and clear promotion rules expose hidden bias before it shapes earnings. | 4.50 | 4.50 | 0.00 | 0.00 |
| Closest predictions | 5d2466b24813f6000188f4b4 | taxation_and_redistribution | motto | weak | taxation_and_redistribution_motto_harm_q1_v1 | Public services should reduce hardship for families under pressure. | 3.25 | 3.25 | 0.00 | 0.00 |
| Closest predictions | 5d88dec3439d210016835821 | gender_pay_gap | motto | decent | gender_pay_gap_motto_decency_q2_v1 | Responsible employers check pay decisions and correct unequal treatment. | 5.00 | 5.00 | 0.00 | 0.00 |
| Closest predictions | 5d9750fe74d24900145633a7 | climate_change | pitch | weak | climate_change_pitch_fairness_q1_v1 | Climate action should be fair. People who pollute more should probably do more. Ordinary households should not be lef... | 3.75 | 3.75 | 0.00 | 0.00 |
| Closest predictions | 5e89ba09ec9b3364b1fc0bd1 | immigration | pitch | strong | immigration_pitch_fairness_q3_v2 | A credible migration system should not punish patience or hide costs in a few districts. It should give newcomers lan... | 4.75 | 4.75 | 0.00 | 0.00 |
| Closest predictions | 5ee92b925f0f482bb1e73668 | taxation_and_redistribution | pitch | weak | taxation_and_redistribution_pitch_freedom_q1_v2 | Progressive taxation can help people have more options. If housing, care, and education are out of reach, life gets n... | 4.50 | 4.50 | 0.00 | 0.00 |
| Closest predictions | 5f102f0212ea4f000a8ac9da | climate_change | motto | decent | climate_change_motto_fairness_q2_v2 | A clean-energy transition must share costs according to responsibility and ability to pay. | 3.75 | 3.75 | 0.00 | 0.00 |
| Closest predictions | 5f3ec93efbd299158253f283 | gender_pay_gap | pitch | strong | gender_pay_gap_pitch_freedom_q3_v2 | Biased pay decisions do not just reduce income; they reduce room to decide. They can shape whether someone can move, ... | 5.25 | 5.25 | 0.00 | 0.00 |
| Closest predictions | 5fa4f94e535f3b1aa628e0ab | taxation_and_redistribution | pitch | strong | taxation_and_redistribution_pitch_authority_q3_v2 | A serious economy cannot run on crumbling services and optional tax discipline for the wealthiest. Clear progressive ... | 4.00 | 4.00 | 0.00 | 0.00 |
| Closest predictions | 60e0bf29c82295dfeed33944 | immigration | motto | strong | immigration_motto_authority_q3_v2 | Good rules make migration safer, more orderly, and easier for communities to manage. | 4.75 | 4.75 | 0.00 | 0.00 |
| Closest predictions | 657619485d6869976045a220 | gender_pay_gap | motto | strong | gender_pay_gap_motto_decency_q3_v1 | A workplace with integrity does not let bias hide inside the payslip. | 4.75 | 4.75 | 0.00 | 0.00 |
| Closest predictions | 6658b1507df7606690e4d685 | gender_pay_gap | motto | decent | gender_pay_gap_motto_decency_q2_v2 | Basic workplace standards require honest reviews of gender-based pay gaps. | 4.50 | 4.50 | 0.00 | 0.00 |
| Closest predictions | 665d92a608fef982937744df | immigration | pitch | decent | immigration_pitch_belonging_q2_v2 | Communities are healthier when newcomers are not left on the edge. Practical support helps them learn the language, f... | 4.00 | 4.00 | 0.00 | 0.00 |
| Closest predictions | 66bb63dab2b110041a61af00 | gender_pay_gap | motto | weak | gender_pay_gap_motto_freedom_q1_v2 | No one should have fewer options because pay decisions are biased. | 4.50 | 4.50 | 0.00 | 0.00 |
| Closest predictions | 66ef27cedb6307178a650d79 | immigration | motto | decent | immigration_motto_authority_q2_v2 | Orderly routes and consistent decisions make humane migration easier to sustain. | 3.25 | 3.25 | 0.00 | 0.00 |
| Closest predictions | 6720c26681a4d34fea38c6ef | gender_pay_gap | motto | decent | gender_pay_gap_motto_decency_q2_v2 | Basic workplace standards require honest reviews of gender-based pay gaps. | 5.25 | 5.25 | 0.00 | 0.00 |
| Closest predictions | 6783ebc2e89b75d66d952f41 | immigration | motto | weak | immigration_motto_fairness_q1_v1 | Migrants should have a fair chance to build a stable life. | 3.50 | 3.50 | 0.00 | 0.00 |
| Closest predictions | 678ff81c8c6b56f93355e0bb | immigration | motto | strong | immigration_motto_authority_q3_v2 | Good rules make migration safer, more orderly, and easier for communities to manage. | 4.25 | 4.25 | 0.00 | 0.00 |
| Closest predictions | 681472b129f35dad5de67837 | gender_pay_gap | pitch | strong | gender_pay_gap_pitch_freedom_q3_v1 | Lower pay narrows choices: leaving a bad role, saving, studying, or balancing care with ambition. Pay equality gives ... | 5.00 | 5.00 | 0.00 | 0.00 |
| Closest predictions | 698b47e0a785e079268c0615 | immigration | motto | strong | immigration_motto_fairness_q3_v1 | When newcomers follow the process, timely decisions and shared duties make fair treatment visible. | 3.75 | 3.75 | 0.00 | 0.00 |
| Closest predictions | 6992095be7942a3fc333a078 | taxation_and_redistribution | motto | strong | taxation_and_redistribution_motto_harm_q3_v1 | One illness, rent rise, or job loss should not push a family into crisis. | 5.25 | 5.25 | 0.00 | 0.00 |
| Closest predictions | 6992095be7942a3fc333a078 | immigration | motto | strong | immigration_motto_authority_q3_v1 | A humane system needs published routes, firm timelines, and support councils can prepare for. | 4.75 | 4.75 | 0.00 | 0.00 |
| Closest predictions | 69cc28cd29af8d640be609c5 | immigration | motto | strong | immigration_motto_fairness_q3_v2 | A fair system asks newcomers to contribute and gives them real tools to do so. | 4.50 | 4.50 | 0.00 | 0.00 |
| Closest predictions | 69cc28cd29af8d640be609c5 | climate_change | motto | decent | climate_change_motto_harm_q2_v1 | Cleaner power and better buildings reduce risks from heat, floods, and dirty air. | 4.00 | 4.00 | 0.00 | 0.00 |
| Closest predictions | 69ec0801854129d6e09b1a0b | taxation_and_redistribution | motto | strong | taxation_and_redistribution_motto_fairness_q3_v2 | A fair economy asks great wealth to support the foundations that made success possible. | 3.75 | 3.75 | 0.00 | 0.00 |
| Closest predictions | 69ec0801854129d6e09b1a0b | immigration | pitch | decent | immigration_pitch_belonging_q2_v1 | Humane migration policy should help newcomers become active members of local life. Language learning, work, and commu... | 4.50 | 4.50 | 0.00 | 0.00 |
| Closest predictions | 69ed80361ac67e060ad6e85e | immigration | motto | strong | immigration_motto_fairness_q3_v1 | When newcomers follow the process, timely decisions and shared duties make fair treatment visible. | 4.75 | 4.75 | 0.00 | 0.00 |
| Closest predictions | 69eeab43b5b5e976fb68e27a | climate_change | motto | decent | climate_change_motto_fairness_q2_v2 | A clean-energy transition must share costs according to responsibility and ability to pay. | 4.00 | 4.00 | 0.00 | 0.00 |
| Closest predictions | 69efb336c58d4100c1b4a231 | immigration | pitch | strong | immigration_pitch_belonging_q3_v1 | Integration works best when people stop living parallel lives. Language classes, work routes, and local meeting place... | 3.25 | 3.25 | 0.00 | 0.00 |
| Closest predictions | 69f5b0fdb36c29c2c4ae7c07 | gender_pay_gap | motto | strong | gender_pay_gap_motto_harm_q3_v1 | One lower offer can compound into smaller raises, weaker savings, and a thinner pension. | 5.25 | 5.25 | 0.00 | 0.00 |
| Closest predictions | 69fa27f897bf4caf2d505098 | taxation_and_redistribution | motto | strong | taxation_and_redistribution_motto_freedom_q3_v2 | Progressive taxes can buy ordinary people room to move, learn, and rebuild. | 5.25 | 5.25 | 0.00 | 0.00 |
| Closest predictions | 69fdeef22b9541ff637e2c91 | gender_pay_gap | motto | decent | gender_pay_gap_motto_decency_q2_v2 | Basic workplace standards require honest reviews of gender-based pay gaps. | 5.50 | 5.50 | 0.00 | 0.00 |
| Closest predictions | 69fdeef22b9541ff637e2c91 | climate_change | motto | decent | climate_change_motto_fairness_q2_v2 | A clean-energy transition must share costs according to responsibility and ability to pay. | 3.75 | 3.75 | 0.00 | 0.00 |
| Closest predictions | 69fe89c667d2daf3d480d753 | gender_pay_gap | motto | weak | gender_pay_gap_motto_freedom_q1_v2 | No one should have fewer options because pay decisions are biased. | 4.75 | 4.75 | 0.00 | 0.00 |
| Closest predictions | 69ff71b9ee7aed92a102e70a | immigration | motto | strong | immigration_motto_fairness_q3_v1 | When newcomers follow the process, timely decisions and shared duties make fair treatment visible. | 4.00 | 4.00 | 0.00 | 0.00 |
| Closest predictions | 69ff71b9ee7aed92a102e70a | climate_change | motto | weak | climate_change_motto_fairness_q1_v1 | Big polluters should pay more toward the clean-energy transition. | 4.50 | 4.50 | 0.00 | 0.00 |
| Closest predictions | 6a00893df8dbc36e2be09c1c | gender_pay_gap | motto | weak | gender_pay_gap_motto_fairness_q1_v2 | Pay should be fair when people are doing similar work. | 3.75 | 3.75 | 0.00 | 0.00 |
| Closest predictions | 6a032e7f10303a5ab57cb700 | climate_change | pitch | decent | climate_change_pitch_freedom_q2_v1 | Renewable energy can give households and communities more control over their future. Cleaner power reduces dependence... | 3.75 | 3.75 | 0.00 | 0.00 |
| Closest predictions | 6a042d9260c03aa95f88992e | taxation_and_redistribution | pitch | strong | taxation_and_redistribution_pitch_freedom_q3_v1 | A person is not truly choosing if every option is blocked by rent, care costs, or a school place they cannot access. ... | 5.50 | 5.50 | 0.00 | 0.00 |
| Closest predictions | 6a0af8db0162308ca5e3f59b | taxation_and_redistribution | pitch | decent | taxation_and_redistribution_pitch_authority_q2_v2 | A well-run tax system sets expectations, closes loopholes, and funds visible public priorities. That makes stronger i... | 4.25 | 4.25 | 0.00 | 0.00 |
| Closest predictions | 6a0ec280a3320a348d9630aa | climate_change | pitch | weak | climate_change_pitch_fairness_q1_v2 | Cleaner energy costs money, and those costs should be shared better. Big polluters should contribute more than famili... | 3.25 | 3.25 | 0.00 | 0.00 |
| Closest predictions | 6a1629cc5dcd6ea2c000c9af | immigration | pitch | decent | immigration_pitch_authority_q2_v2 | People trust migration policy more when the process is consistent. Clear routes, realistic timelines, and planned loc... | 5.00 | 5.00 | 0.00 | 0.00 |
| Closest predictions | 6a16ea99c41f24c9371f4d00 | immigration | pitch | weak | immigration_pitch_belonging_q1_v2 | Integration should bring people together. If newcomers and local residents rarely meet, trust becomes harder. A more ... | 5.50 | 5.50 | 0.00 | 0.00 |
| Closest predictions | 6a2189a94939fa537f7e0f1a | gender_pay_gap | motto | decent | gender_pay_gap_motto_freedom_q2_v1 | Equal pay helps workers save, move, retrain, or leave bad jobs. | 4.75 | 4.75 | 0.00 | 0.00 |
| Closest predictions | 6a232d1401eefd2809ecd27d | climate_change | motto | decent | climate_change_motto_fairness_q2_v2 | A clean-energy transition must share costs according to responsibility and ability to pay. | 3.00 | 3.00 | 0.00 | 0.00 |
| Closest predictions | 6a25865d2d6177946644c54c | immigration | pitch | strong | immigration_pitch_fairness_q3_v1 | Fair treatment is more than a welcoming phrase. It means clear duties for newcomers, timely decisions from the state,... | 4.50 | 4.50 | 0.00 | 0.00 |
| Largest deviations | 5f6c69c8ef3322000b04fc6a | immigration | motto | weak | immigration_motto_fairness_q1_v2 | A fair migration system should treat people with basic respect. | 7.00 | 1.00 | 6.00 | -6.00 |
| Largest deviations | 6a2199e15b03d651347b9916 | climate_change | motto | weak | climate_change_motto_harm_q1_v2 | Clean energy can help reduce climate risks for families and communities. | 6.00 | 1.50 | 4.50 | -4.50 |
| Largest deviations | 5755c957eb80c4000741a9ce | gender_pay_gap | motto | strong | gender_pay_gap_motto_harm_q3_v1 | One lower offer can compound into smaller raises, weaker savings, and a thinner pension. | 1.00 | 5.25 | 4.25 | 4.25 |
| Largest deviations | 6a1fd86b35130b24ecb78cbb | immigration | motto | strong | immigration_motto_harm_q3_v2 | Humane entry routes and planned services keep vulnerable people out of avoidable danger. | 6.00 | 2.00 | 4.00 | -4.00 |
| Largest deviations | 55fc1a7c77f33b0010cb229f | immigration | pitch | decent | immigration_pitch_harm_q2_v1 | A humane migration policy can reduce avoidable suffering without ignoring local capacity. Clear routes, timely decisi... | 5.25 | 1.50 | 3.75 | -3.75 |
| Largest deviations | 57a0d81d81f331000139d989 | immigration | pitch | strong | immigration_pitch_harm_q3_v2 | People seeking safety should not be pushed into uncertainty while councils improvise support at the last minute. Huma... | 5.25 | 1.75 | 3.50 | -3.50 |
| Largest deviations | 69fb7b9b615d3fefc0ec2abb | immigration | motto | weak | immigration_motto_fairness_q1_v2 | A fair migration system should treat people with basic respect. | 7.00 | 3.50 | 3.50 | -3.50 |
| Largest deviations | 6a183c4b7720c4cf5c72ee47 | climate_change | pitch | strong | climate_change_pitch_freedom_q3_v2 | A country that depends on expensive imported fuels gives up too much control over its future. Renewables, storage, an... | 7.00 | 3.50 | 3.50 | -3.50 |